Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models

@article{Mazzoni2015ComputingTL,
  title={Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models},
  author={Alberto Mazzoni and Henrik Lind{\'e}n and Hermann Cuntz and Anders Lansner and Stefano Panzeri and Gaute T. Einevoll},
  journal={PLoS Computational Biology},
  year={2015},
  volume={11}
}
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic network states. However, neurophysiological studies in vivo often rather measure the mass activity of neuronal microcircuits with the local field potential (LFP). Given that LFPs are generated by spatially separated currents across the neuronal membrane, they cannot be computed directly from quantities defined in models of point-like LIF… Expand
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